Abstract
The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to UTAUT) to explain the adoption and use of collaboration technology. We theorize that collaboration technology characteristics, individual and group characteristics, task characteristics, and situational characteristics are predictors of performance expectancy, effort expectancy, social influence, and facilitating conditions in UTAUT. We further theorize that the UTAUT constructs, in concert with gender, age, and experience, predict intention to use a collaboration technology, which in turn predicts use. We conducted two field studies in Finland among (1) 349 short message service (SMS) users and (2) 447 employees who were potential users of a new collaboration technology in an organization. Our model was supported in both studies. The current work contributes to research by developing and testing a technology-specific model of adoption in the collaboration context.
Original language | English (US) |
---|---|
Pages (from-to) | 9-53 |
Number of pages | 45 |
Journal | Journal of Management Information Systems |
Volume | 27 |
Issue number | 2 |
DOIs | |
State | Published - Oct 1 2010 |
Externally published | Yes |
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Keywords
- channel expansion theory
- collaboration technologies
- social presence theory
- task closure model
- technology acceptance
- technology adoption
- unified theory of acceptance and use of technology
ASJC Scopus subject areas
- Management Information Systems
- Information Systems and Management
- Management Science and Operations Research
- Computer Science Applications
Cite this
Predicting collaboration technology use : Integrating technology adoption and collaboration research. / Brown, Susan A; Dennis, Alan; Venkatesh, Viswanath.
In: Journal of Management Information Systems, Vol. 27, No. 2, 01.10.2010, p. 9-53.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predicting collaboration technology use
T2 - Integrating technology adoption and collaboration research
AU - Brown, Susan A
AU - Dennis, Alan
AU - Venkatesh, Viswanath
PY - 2010/10/1
Y1 - 2010/10/1
N2 - The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to UTAUT) to explain the adoption and use of collaboration technology. We theorize that collaboration technology characteristics, individual and group characteristics, task characteristics, and situational characteristics are predictors of performance expectancy, effort expectancy, social influence, and facilitating conditions in UTAUT. We further theorize that the UTAUT constructs, in concert with gender, age, and experience, predict intention to use a collaboration technology, which in turn predicts use. We conducted two field studies in Finland among (1) 349 short message service (SMS) users and (2) 447 employees who were potential users of a new collaboration technology in an organization. Our model was supported in both studies. The current work contributes to research by developing and testing a technology-specific model of adoption in the collaboration context.
AB - The paper presents a model integrating theories from collaboration research (i.e., social presence theory, channel expansion theory, and the task closure model) with a recent theory from technology adoption research (i.e., unified theory of acceptance and use of technology, abbreviated to UTAUT) to explain the adoption and use of collaboration technology. We theorize that collaboration technology characteristics, individual and group characteristics, task characteristics, and situational characteristics are predictors of performance expectancy, effort expectancy, social influence, and facilitating conditions in UTAUT. We further theorize that the UTAUT constructs, in concert with gender, age, and experience, predict intention to use a collaboration technology, which in turn predicts use. We conducted two field studies in Finland among (1) 349 short message service (SMS) users and (2) 447 employees who were potential users of a new collaboration technology in an organization. Our model was supported in both studies. The current work contributes to research by developing and testing a technology-specific model of adoption in the collaboration context.
KW - channel expansion theory
KW - collaboration technologies
KW - social presence theory
KW - task closure model
KW - technology acceptance
KW - technology adoption
KW - unified theory of acceptance and use of technology
UR - http://www.scopus.com/inward/record.url?scp=78649372992&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649372992&partnerID=8YFLogxK
U2 - 10.2753/MIS0742-1222270201
DO - 10.2753/MIS0742-1222270201
M3 - Article
AN - SCOPUS:78649372992
VL - 27
SP - 9
EP - 53
JO - Journal of Management Information Systems
JF - Journal of Management Information Systems
SN - 0742-1222
IS - 2
ER -